So, is the Internet caring about copyright now? Decades of Napster, Limewire, BitTorrent, Piratebay, bootleg ebooks, movies, music, etc, but we care now because it's a big corporation doing it?
Just a point of clarification: Copyright is about the right of distribution. So yes, a company can just “download the Internet”, store it, and do whatever TF they want with it as long as they don’t distribute it.
That the key: Distribution. That’s why no one gets sued for downloading. They only ever get sued for uploading. Furthermore, the damages (if found guilty) are based on the number of copies that get distributed. It’s because copyright law hasn’t been updated in decades and 99% of it predates computers (especially all the important case law).
What these lawsuits against OpenAI are claiming is that OpenAI is making a derivative work of the authors/owners works. Which is kinda what’s going on but also not really. Let’s say that someone asks ChatGPT to write a few paragraphs of something in the style of Stephen King… His “style” isn’t even cooyrightable so as long as it didn’t copy his works word-for-word is it even a derivative? No one knows. It’s never been litigated before.
My guess: No. It’s not going to count as a derivative work. Because it’s no different than a human reading all his books and performing the same, perfectly legal function.
People on Lemmy. I personally didn’t realize everyone here was such big fans of copyright and artificial scarcity.
The reality is that people hate tech bros (deservedly) and then blindly hate on everything they like by association, which sometimes results in dumbassery like everyone now dick-riding the copyright system.
The reality is that people hate the corporations using creative peoples works to try and make their jobs basically obsolete and they grab onto anything to fight against it, even if it’s a bit of a stretch.
Me too, but real human creativity comes from having the time and space to rest and think properly. Automation is the only reason we have as much leisure time as we do on a societal scale now, and AI just allows us to automate more menial tasks.
Do you know where AI is actually being used the most right now? Automating away customer service jobs, automatic form filling, translation, and other really boring but necessary tasks that computers used to be really bad at before neural networks.
And some automation I have no problems with. However, if corporations would rather use AI than hire creatives, the creatives will have to look for other work and likely won’t have a space to express their creativity, not at work nor during leisure time (no time, exhaustion, etc.). Something should be done so it doesn’t go there. Preemptively. Not after everything’s gone to shit. I don’t see the people defending AI from the copyright stuff even acknowledging the issue. Holding up the copyright card, currently, is the easiest way to try an avoid this happening.
Personally for me its about the double standard. When we perform small scale “theft” to experience things we’d be willing to pay for if we could afford it and the money funded the artists, they throw the book at us. When they build a giant machine that takes all of our work and turns it into an automated record scratcher that they will profit off of and replace our creative jobs with, that’s just good business. I don’t think it’s okay that they get to do things like implement DRM because IP theft is so terrible, but then when they do it systemically and against the specific licensing of the content that has been posted to the internet, that’s protected in the eyes of the law
Open models made by nonprofit organisations, listing their sources, not including anything from anyone who requests it not to be included (with robots.txt, for instance), and burdened with a GPL-like viral license that prevents the models and their results from being used for profit… that’d probably be fine.
We’re talking about LLMs. They’re useless for most practical applications by definition.
And when they’re not entirely useless (basically, autocomplete) they’re orders of magnitude less cost-effective than older almost equivalent alternatives, so they’re effectively useless at that, too.
They’re fancy extremely costly toys without any practical use, that thanks to the short-sighted greed of the scammers selling them will soon become even more useless due to model collapse.
I mean openais not getting off Scott free, they’ve been getting sued a lot recently for this exact copy right argument. New York times is suing them for potential billions.
They throw the book at us
Do they though, since the Metallica lawsuits in the aughts there hasnt been much prosecution at the consumer level for piracy, and what little there is is mostly cease and desists.
It’s not hypocritical to care about some parts of copyright and not others. For example most people in the foss crowd don’t really care about using copyright to monetarily leverage being the sole distributor of a work but they do care about attribution.
There is a kernal of validity to your point, but let’s not pretend like those things are at all the same. The difference between copyright violation for personal use and copyright violation for commercialization is many orders of magnitude.
People don’t like when you punch down. When a 13 year old illegally downloaded a Limp Bizkit album no one cared. When corporations worth billions funded by venture capital systematically harvest the work of small creators (often with appropriate license) to sell a product people tend to care.
Two years ago, I quit FB for six months. Then I checked my feed, and counted six friends’ updates and zero group posts in the first 100 items. 94% of posts were ads or “suggested” content. So, I closed FB and never went back again. Whatsap statuses is where I find my friends’ updates these days.
Bullshit. AI are not human. We shouldn’t treat them as such. AI are not creative. They just regurgitate what they are trained on. We call what it does “learning”, but that doesn’t mean we should elevate what they do to be legally equal to human learning.
It’s this same kind of twisted logic that makes people think Corporations are People.
In the abstract, if you wanted to make artificial intelligence, how would you do it without using the training data that we humans use to train our own intelligence?
We learn by reading copyrighted material. Do we pay for it? Sometimes. Sometimes a teacher read it a while ago and then just regurgitated basically the same copyrighted information back to us in a slightly changed form.
We are human beings. The comparison is false on it’s face because what you all are calling AI isn’t in any conceivable way comparable to the complexity and versatility of a human mind, yet you continue to spit this lie out, over and over again, trying to play it up like it’s Data from Star Trek.
This model isn’t “learning” anything in any way that is even remotely like how humans learn. You are deliberately simplifying the complexity of the human brain to make that comparison.
Moreover, human beings make their own choices, they aren’t actual tools.
They pointed a tool at copyrighted works and told it to copy, do some math, and regurgitate it. What the AI “does” is not relevant, what the people that programmed it told it to do with that copyrighted information is what matters.
There is no intelligence here except theirs. There is no intent here except theirs.
We are human beings. The comparison is false on it’s face because what you all are calling AI isn’t in any conceivable way comparable to the complexity and versatility of a human mind, yet you continue to spit this lie out, over and over again, trying to play it up like it’s Data from Star Trek.
If you fundamentally do not think that artificial intelligences can be created, the onus is on yo uto explain why it’s impossible to replicate the circuitry of our brains. Everything in science we’ve seen this far has shown that we are merely physical beings that can be recreated physically.
Otherwise, I asked you to examine a thought experiment where you are trying to build an artificial intelligence, not necessarily an LLM.
This model isn’t “learning” anything in any way that is even remotely like how humans learn. You are deliberately simplifying the complexity of the human brain to make that comparison.
Or you are over complicating yourself to seem more important and special. Definitely no way that most people would be biased towards that, is there?
Moreover, human beings make their own choices, they aren’t actual tools.
Oh please do go ahead and show us your proof that free will exists! Thank god you finally solved that one! I heard people were really stressing about it for a while!
They pointed a tool at copyrighted works and told it to copy, do some math, and regurgitate it. What the AI “does” is not relevant, what the people that programmed it told it to do with that copyrighted information is what matters.
“I don’t know how this works but it’s math and that scares me so I’ll minimize it!”
If we have an AI that’s equivalent to humanity in capability of learning and creative output/transformation, it would be immoral to just use it as a tool. At least that’s how I see it.
I think that’s a huge risk, but we’ve only ever seen a single, very specific type of intelligence, our own / that of animals that are pretty closely related to us.
Movies like Ex Machina and Her do a good job of pointing out that there is nothing that inherently means that an AI will be anything like us, even if they can appear that way or pass at tasks.
It’s entirely possible that we could develop an AI that was so specifically trained that it would provide the best script editing notes but be incapable of anything else for instance, including self reflection or feeling loss.
This model isn’t “learning” anything in any way that is even remotely like how humans learn. You are deliberately simplifying the complexity of the human brain to make that comparison.
I do think the complexity of artificial neural networks is overstated. A real neuron is a lot more complex than an artificial one, and real neurons are not simply feed forward like ANNs (which have to be because they are trained using back-propagation), but instead have their own spontaneous activity (which kinda implies that real neural networks don’t learn using stochastic gradient descent with back-propagation). But to say that there’s nothing at all comparable between the way humans learn and the way ANNs learn is wrong IMO.
If you read books such as V.S. Ramachandran and Sandra Blakeslee’s Phantoms in the Brain or Oliver Sacks’ The Man Who Mistook His Wife For a Hat you will see lots of descriptions of patients with anosognosia brought on by brain injury. These are people who, for example, are unable to see but also incapable of recognizing this inability. If you ask them to describe what they see in front of them they will make something up on the spot (in a process called confabulation) and not realize they’ve done it. They’ll tell you what they’ve made up while believing that they’re telling the truth. (Vision is just one example, anosognosia can manifest in many different cognitive domains).
It is V.S Ramachandran’s belief that there are two processes that occur in the Brain, a confabulator (or “yes man” so to speak) and an anomaly detector (or “critic”). The yes-man’s job is to offer up explanations for sensory input that fit within the existing mental model of the world, whereas the critic’s job is to advocate for changing the world-model to fit the sensory input. In patients with anosognosia something has gone wrong in the connection between the critic and the yes man in a particular cognitive domain, and as a result the yes-man is the only one doing any work. Even in a healthy brain you can see the effects of the interplay between these two processes, such as with the placebo effect and in hallucinations brought on by sensory deprivation.
I think ANNs in general and LLMs in particular are similar to the yes-man process, but lack a critic to go along with it.
What implications does that have on copyright law? I don’t know. Real neurons in a petri dish have already been trained to play games like DOOM and control the yoke of a simulated airplane. If they were trained instead to somehow draw pictures what would the legal implications of that be?
There’s a belief that laws and political systems are derived from some sort of deep philosophical insight, but I think most of the time they’re really just whatever works in practice. So, what I’m trying to say is that we can just agree that what OpenAI does is bad and should be illegal without having to come up with a moral imperative that forces us to ban it.
A huge amount of what you learn, someone else paid for, then they taught that knowledge to the next person, and so on. By the time you learned it, it had effectively been pirated and copied by human brains several times before it got to you.
Literally anything you learned from a Reddit comment or a Stack Overflow post for instance.
Better system for WHOM? Tech-bros that want to steal my content as their own?
I’m a writer, performing artist, designer, and illustrator. I have thought about copyright quite a bit. I have released some of my stuff into the public domain, as well as the Creative Commons. If you want to use my work, you may - according to the licenses that I provide.
I also think copyright law is way out of whack. It should go back to - at most - life of author. This “life of author plus 95 years” is ridiculous. I lament that so much great work is being lost or forgotten because of the oppressive copyright laws - especially in the area of computer software.
But tech-bros that want my work to train their LLMs - they can fuck right off. There are legal thresholds that constitute “fair use” - Is it used for an academic purpose? Is it used for a non-profit use? Is the portion that is being used a small part or the whole thing? LLM software fail all of these tests.
They can slurp up the entirety of Wikipedia, and they do. But they are not satisfied with the free stuff. But they want my artistic creations, too, without asking. And they want to sell something based on my work, making money off of my work, without asking.
Better system for WHOM? Tech-bros that want to steal my content as their own?
A better system for EVERYONE. One where we all have access to all creative works, rather than spending billions on engineers nad lawyers to create walled gardens and DRM and artificial scarcity. What if literally all the money we spent on all of that instead went to artist royalties?
But tech-bros that want my work to train their LLMs - they can fuck right off. There are legal thresholds that constitute “fair use” - Is it used for an academic purpose? Is it used for a non-profit use? Is the portion that is being used a small part or the whole thing? LLM software fail all of these tests.
No. It doesn’t.
They can literally pass all of those tests.
You are confusing OpenAI keeping their LLM closed source and charging access to it, with LLMs in general. The open source models that Microsoft and Meta publish for instance, pass literally all of the criteria you just stated.
They literally do not pass the criteria. LLMs use the entirety of a copyrighted work for their training, which fails the “amount and substantiality” factor. By their very nature, LLMs would significantly devalue the work of every artist, author, journalist, and publishing organization, on an industry-wide scale, which fails the “Effect upon work’s value” factor.
Those two alone would be enough for any sane judge to rule that training LLMs would not qualify as fair use, but then you also have OpenAI and other commercial AI companies offering the use of these models for commercial, for-profit purposes, which also fails the “Purpose and character of the use” factor. You could maybe argue that training LLMs is transformative, but the commercial, widespread nature of this infringement would weigh heavily against that. So that’s at least two, and arguably three out of four factors where it falls short.
LLMs use the entirety of a copyrighted work for their training, which fails the “amount and substantiality” factor.
That factor is relative to what is reproduced, not to what is ingested. A company is allowed to scrape the web all they want as long as they don’t republish it.
By their very nature, LLMs would significantly devalue the work of every artist, author, journalist, and publishing organization, on an industry-wide scale, which fails the “Effect upon work’s value” factor.
I would argue that LLMs devalue the author’s potential for future work, not the original work they were trained on.
Those two alone would be enough for any sane judge to rule that training LLMs would not qualify as fair use, but then you also have OpenAI and other commercial AI companies offering the use of these models for commercial, for-profit purposes, which also fails the “Purpose and character of the use” factor.
Again, that’s the practice of OpenAI, but not inherent to LLMs.
You could maybe argue that training LLMs is transformative,
It’s honestly absurd to try and argue that they’re not transformative.
That factor is relative to what is reproduced, not to what is ingested. A company is allowed to scrape the web all they want as long as they don’t republish it.
The work is reproduced in full when it’s downloaded to the server used to train the AI model, and the entirety of the reproduced work is used for training. Thus, they are using the entirety of the work.
I would argue that LLMs devalue the author’s potential for future work, not the original work they were trained on.
And that makes it better somehow? Aereo got sued out of existence because their model threatened the retransmission fees that broadcast TV stations were being paid by cable TV subscribers. There wasn’t any devaluation of broadcasters’ previous performances, the entire harm they presented was in terms of lost revenue in the future. But hey, thanks for agreeing with me?
Again, that’s the practice of OpenAI, but not inherent to LLMs.
And again, LLM training so egregiously fails two out of the four factors for judging a fair use claim that it would fail the test entirely. The only difference is that OpenAI is failing it worse than other LLMs.
It’s honestly absurd to try and argue that they’re not transformative.
It’s even more absurd to claim something that is transformative automatically qualifies for fair use.
Making a copy is free. Making the original is not. I don’t expect a professional photographer to hand out their work for free because making copies of it costs nothing. You’re not paying for the copy, you’re paying for the money and effort needed to create the original.
Making a copy is free. Making the original is not.
Yes, exactly. Do you see how that is different from the world of physical objects and energy? That is not the case for a physical object. Even once you design something and build a factory to produce it, the first item off the line takes the same amount of resources as the last one.
Capitalism is based on the idea that things are scarce. If I have something, you can’t have it, and if you want it, then I have to give up my thing, so we end up trading. Information does not work that way. We can freely copy a piece of information as much as we want. Which is why monopolies and capitalism are a bad system of rewarding creators. They inherently cause us to impose scarcity where there is no need for it, because in capitalism things that are abundant do not have value. Capitalism fundamentally fails to function when there is abundance of resources, which is why copyright was a dumb system for the digital age. Rather than recognize that we now live in an age of information abundance, we spend billions of dollars trying to impose artificial scarcity.
The ingredient thing is a bit amusing, because that’s basically how one of the major fast food chains got to be so big (I can’t remember which one it was ATM though; just that it wasn’t McDonald’s). They cut out the middle-man and just bought their own farm to start growing the vegetables and later on expanded to raising the animals used for the meat as well.
Games that are in the business of selling anime girls end up attracting a certain demographic. And as the developers know who their audience is and double down on catering to that crowd, this kind of behavior becomes increasingly normalized over time.
There are feet in the camera’s face within… eight seconds. I’m surprised, but I can’t say I’m shocked.
Aside from that, it is a curious decision to make the first person camera a woman. I thought their target audience would be young men? It’s certainly a larger potential audience than lesbians, although hey, not like I mind that choice ;3
Here’s an experiment for you to try at home. Ask an AI model a question, copy a sentence or two of what they give back, and paste it into a search engine. The results may surprise you.
And stop comparing AI to humans but then giving AI models more freedom. If I wrote a paper I’d need to cite my sources. Where the fuck are your sources ChatGPT? Oh right, we’re not allowed to see that but you can take whatever you want from us. Sounds fair.
It’s not a breach of copyright or other IP law not to cite sources on your paper.
Getting your paper rejected for lacking sources is also not infringing in your freedom. Being forced to pay damages and delete your paper from any public space would be infringement of your freedom.
I’m pretty sure that it’s true that citing sources isn’t really relevant to copyright violation, either you are violating or not. Saying where you copied from doesn’t change anything, but if you are using some ideas with your own analysis and words it isn’t a violation either way.
With music this often ends up in civil court. Pretty sure the same can in theory happen for written texts, but the commercial value of most written texts is not worth the cost of litigation.
I mean, you’re not necessarily wrong. But that doesn’t change the fact that it’s still stealing, which was my point. Just because laws haven’t caught up to it yet doesn’t make it any less of a shitty thing to do.
You guys are missing a fundamental point. The copyright was created to protect an author for specific amount of time so somebody else doesn’t profit from their work essentially stealing their deserved revenue.
But piracy saves you money which is effectively the same as making a profit. Also, it’s not just that they’re selling other people’s work for profit. You’re also paying for the insane amount of computing power it takes to train and run the AI plus salaries of the workers etc.
Not to fully argue against your point, but I do want to push back on the citations bit. Given the way an LLM is trained, it’s not really close to equivalent to me citing papers researched for a paper. That would be more akin to asking me to cite every piece of written or verbal media I’ve ever encountered as they all contributed in some small way to way that the words were formulated here.
Now, if specific data were injected into the prompt, or maybe if it was fine-tuned on a small subset of highly specific data, I would agree those should be cited as they are being accessed more verbatim. The whole “magic” of LLMs was that it needed to cross a threshold of data, combined with the attentional mechanism, and then the network was pretty suddenly able to maintain coherent sentences structure. It was only with loads of varied data from many different sources that this really emerged.
This is the catch with OPs entire statement about transformation. Their premise is flawed, because the next most likely token is usually the same word the author of a work chose.
And that’s kinda my point. I understand that transformation is totally fine but these LLM literally copy and paste shit. And that’s still if you are comparing AI to people which I think is completely ridiculous. If anything these things are just more complicated search engines with half the usefulness. If I search online about how to change a tire I can find some reliable sources to do so. If I ask AI how to change a tire it would just spit something out that might not even be accurate and I’d have to search again afterwards just to make sure what it told me was even accurate.
It’s just a word calculator based on information stolen from people without their consent. It has no original thought process so it has no way to transform anything. All it can do is copy and paste in different combinations.
I’m with windows on this one. Case insensitive is much more ergonomics with the only sacrifice represented by this meme. And a little bit of performance of course. But the ergonomics are worth it imo.
so cool story, on linux theres this thing called you can just not make case sensitive files, i do it a lot.
You can also just, use a case insensitive autocomplete setup as well. If you’re using a mouse idk why you’re even talking about this so that wouldn’t matter.
In the case of zsh it will quite happily do either and ask you which you meant just like if they were called Dir1 and Dir2. Also works if you have a dir1 and Dir2 in the same directory as well
it depends on your shell configs. In my case it sits at dir/Dir (case insensitive) waiting for me to specify 1 or 2, where as if you disable it, it’s dependent on whether or not you type d or D.
If you have “Dir1” and “DIR2” and you type “cd d”, your prompt will look like in the next picture. Fish automatically transforms “d” into “D”, because there is no dir starting with the lowercase “d”.
On a subsequent <TAB> you’ll get a list of dirs matching your prompt so far in which you choose an entry with the cursor key and enter it with the enter key.
You can just not use capital letters if you feel like it. Works pretty well. Or just use a case insensitive shell handler for pretending it’s not actually cased at all.
Hell im pretty sure you could just render all of the text in a certain case and call it a day lol.
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